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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 15 days ago
. High-risk, high-gain projects are encouraged. Selected candidates will interact with existing groups at HITS while developing and pursuing their independent research projects. The institute and research
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. Selected postdocs will collaborate with group leaders at HITS while developing and pursuing their independent research projects. The institute and research focus The Heidelberg Institute for Theoretical
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upgrade, luminosity measurements, the alignment of the Tracker and other calibration activities, as well as algorithmic work and shifts for the detector operation.The DESY CMS group is seeking to hire two
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
in RNA biology in the context of embryogenesis can be made, and to support and develop the skills and careers of lab members. English is the working language of the institute and we are building a
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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, and unmodeled dynamics remains a key challenge. This position focuses on developing and validating methods that jointly address safety, performance, and reliability of learning-based control and
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning